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http://hdl.handle.net/20.500.12386/35124
Title: | Bayesian jackknife tests with a small number of subsets: application to HERA 21 cm power spectrum upper limits | Authors: | Wilensky, Michael J. Kennedy, Fraser BULL, PHILIP Dillon, Joshua S. Abdurashidova, Zara Adams, Tyrone Aguirre, James E. Alexander, Paul Ali, Zaki S. Baartman, Rushelle Balfour, Yanga Beardsley, Adam P. BERNARDI, Gianni Billings, Tashalee S. Bowman, Judd D. Bradley, Richard F. Burba, Jacob Carey, Steven Carilli, Chris L. Cheng, Carina DeBoer, David R. de Lera Acedo, Eloy Dexter, Matt Eksteen, Nico Ely, John Ewall-Wice, Aaron Fagnoni, Nicolas Fritz, Randall Furlanetto, Steven R. Gale-Sides, Kingsley Glendenning, Brian Gorthi, Deepthi Greig, Bradley Grobbelaar, Jasper Halday, Ziyaad Hazelton, Bryna J. Hewitt, Jacqueline N. Hickish, Jack Jacobs, Daniel C. Julius, Austin Kariseb, MacCalvin Kern, Nicholas S. Kerrigan, Joshua Kittiwisit, Piyanat Kohn, Saul A. Kolopanis, Matthew Lanman, Adam La Plante, Paul Liu, Adrian Loots, Anita MacMahon, David Harold Edward Malan, Lourence Malgas, Cresshim Malgas, Keith Marero, Bradley Martinot, Zachary E. Mesinger, Andrei Molewa, Mathakane Morales, Miguel F. Mosiane, Tshegofalang Murray, Steven G. Neben, Abraham R. Nikolic, Bojan Nuwegeld, Hans Parsons, Aaron R. Patra, Nipanjana Pieterse, Samantha Razavi-Ghods, Nima Robnett, James Rosie, Kathryn Sims, Peter Swarts, Hilton Thyagarajan, Nithyanandan van Wyngaarden, Pieter Williams, Peter K. G. Zheng, Haoxuan |
Issue Date: | 2023 | Journal: | MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY | Number: | 518 | Issue: | 4 | First Page: | 6041 | Abstract: | We present a Bayesian jackknife test for assessing the probability that a data set contains biased subsets, and, if so, which of the subsets are likely to be biased. The test can be used to assess the presence and likely source of statistical tension between different measurements of the same quantities in an automated manner. Under certain broadly applicable assumptions, the test is analytically tractable. We also provide an open-source code, CHIBORG, that performs both analytic and numerical computations of the test on general Gaussian-distributed data. After exploring the information theoretical aspects of the test and its performance with an array of simulations, we apply it to data from the Hydrogen Epoch of Reionization Array (HERA) to assess whether different sub-seasons of observing can justifiably be combined to produce a deeper 21 cm power spectrum upper limit. We find that, with a handful of exceptions, the HERA data in question are statistically consistent and this decision is justified. We conclude by pointing out the wide applicability of this test, including to CMB experiments and the H<SUB>0</SUB> tension. | URI: | http://hdl.handle.net/20.500.12386/35124 | URL: | https://api.elsevier.com/content/abstract/scopus_id/85150521757 https://academic.oup.com/mnras/article/518/4/6041/6852951 |
ISSN: | 0035-8711 | DOI: | 10.1093/mnras/stac3484 | Bibcode ADS: | 2023MNRAS.518.6041W | Fulltext: | open |
Appears in Collections: | 1.01 Articoli in rivista |
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wilensky23.pdf | PDF editoriale | 2.48 MB | Adobe PDF | View/Open |
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